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Data as Noise Explainers The Complete Glossary Data as Noise Date of Addition 22 Mar 2025 The concept that data sets contain unwanted, meaningless information (noise) that can interfere with model training and analysis. Noise can manifest as random variations, misclassifications, uncontrolled variables, or superfluous information unrelated to the target phenomenon. Almost all real-world data sets contain some degree of noise, which can adversely affect the results of data mining analysis and unnecessarily increase storage requirements. Types of noise include random noise (extra information with no correlation to underlying data), misclassified data (incorrectly labeled information), uncontrolled variables (unaccounted factors affecting the data), and superfluous data (completely unrelated information). Techniques for addressing noisy data include filtering (removing unwanted data), data binning (sorting data into categories to reduce variance), and linear regression (determining correlations between variables). Machine learning algorithms can be particularly susceptible to noise, potentially leading to "garbage in, garbage out" scenarios if data quality is poor. Related Long-form Insights on IndoPacific.App Averting Framework Fatigue in AI Governance [IPLR-IG-013] Learn More NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016 Learn More AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas Learn More Previous Term Next Term terms of use This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use: You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary. Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example): Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research , 2023) You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research. The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary. You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary. If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) Global Legalism, Volume 1 Get this Publication 2020 ISBN 978-93-5396-497-9 Author(s) Carolina Rodrigues Madeira da Costa, Christina Velentza, Diogo Luiz Chagas Santos, Hemant Prasad, Ishita Thakur, Keertana Venkatesh, Mini Saxena, Nandini Agarwal, Nikhil Dongol, Nivedita Raju, Petra Gumplova, Sangeet Khurana, Sulekha Agarwal, Trushita Srivastava, Vivian Rodrigues Madeira da Costa, Yifang Ye Editor(s) Abhivardhan, Arushi Alka Bajpai, Bulbul Khaitan, Dr Koagne Zouapet Apollin, Luisa Fernanda Cañas Arandia, Nivedita S, Ritu Agarwal, Sara Arafa, Shobhitabh Srivastava, Udomo Ali IndoPacific.App Identifier (ID) GLA1 Tags Comparative Law., Environmental law, Human Rights, India, International Law, International Organizations, International Trade, Investment Law, South Asia Related Terms in Techindata.in Explainers Definitions - A - E CEI Classification Class-of-Applications-by-Class-of-Application (CbC) approach Definitions - F - J GAE Indo-Pacific International Algorithmic Law Definitions - K - P Multi-alignment Multipolar World Multipolarity Permeable Indigeneity in Policy (PIP) Phenomena-based concept classification Definitions - Q - U Strategic Autonomy Strategic Hedging Technophobia Definitions - V - Z WANA WENA Whole-of-Government Response Related Articles in Techindata.in Insights 4 Insight(s) on Government Affairs 1 Insight(s) on India-US Relations 1 Insight(s) on governance 1 Insight(s) on Indic Pacific 1 Insight(s) on India 1 Insight(s) on strategic sectors . Previous Item Next Item

Liked our Work? Search it now on IndoPacific.App Get Searching Our Research Know more about our Knowledge Base, years of accumulated and developed in-house research at Indic Pacific Legal Research. Search our Research Treasure on IndoPacific.App. :) [AIACT.IN V5] Draft Artificial Intelligence (Development & Regulation) Act, 2023, Version 5 Get this Publication 2025 ISBN Not Applicable Author(s) Abhivardhan Editor(s) Not Applicable IndoPacific.App Identifier (ID) AIACT5 Tags Abhivardhan, Accountability, AI applications, AI Development, AI Education, AI Ethics, AI Future, AI governance, AI Impact, AI Industry, AI Innovations, AI literacy, AI regulation, AI Research, AI Resources, AI Solutions, AI Technology, AI Tools, AI Training, AI Trends, aiact.in, AIACT.IN V4, Artificial Intelligence, Compliance, content provenance, Data ethics, Employment, ethics code, Governance, high-risk AI, India, Indic Pacific, Legal Framework, Machine Learning, National Ethics Code, penalties, risk classification, Strategic Sectors, Transparency, Version 5.0, watermarking Related Terms in Techindata.in Explainers Definitions - A - E AI as a Concept AI as an Object AI as a Subject AI as a Third Party Accountability Deepfakes Definitions - F - J General intelligence applications with multiple short-run or unclear use cases as per industrial and regulatory standards (GI2) General intelligence applications with multiple stable use cases as per relevant industrial and regulatory standards (GI1) Generative AI applications with one standalone use case (GAI1) Intended Purpose / Specified Purpose Definitions - K - P Manifest Availability Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI Parameters Privacy by Default Privacy by Design Proprietary Information Definitions - Q - U SOTP Classification Technology Transfer Transformer Model Definitions - V - Z Whole-of-Government Response Related Articles in Techindata.in Insights 34 Insight(s) on AI Ethics 8 Insight(s) on AI Governance 8 Insight(s) on AI regulation 7 Insight(s) on AI literacy 3 Insight(s) on Abhivardhan 3 Insight(s) on AIACT.in . Previous Item Next Item

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